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Flow cytometry may be a useful tool to analyze lymphoma samples that are obtained from fine needle aspirations (FNA). This study aimed to determine if flow cytometric analysis add more objective and standardized information on the cellularity and morphology of lymphoma cells to conventional cytology. The typical immunophenotype of different lymphoma subtypes was assessed and leukocyte marker expression was evaluated to determine which antigens were more frequently over- or under-expressed in these lymphoma subtypes. Fifty FNA lymph node samples were evaluated from canine lymphomas. Thirty-one samples were identified to be of B-cell origin, sixteen were identified to be of T/NK-cell origin and three cases were classified as acute lymphoblastic leukaemia with lymph nodes involvement. The most common B-cell lymphoma subtypes were centroblastic lymphomas, whereas three cases were atypical and classified as B-large cell pleomorphic lymphomas. Among the T/NK lymphomas, small clear cells, large and small pleomorphic mixed cells, large granular lymphocytic cells and small pleomorphic cells were identified. Aberrant phenotypes and/or antigen under/over regulation was identified in thirty out of forty-seven lymphoma cases (64%; 18/31 B-cell=58% and 12/16 T-cell=75%). In B-cell lymphomas the most frequent finding was the diminished expression of CD79a (45%). CD34 expression was also observed in four cases (13%). Among T-cell lymphomas the prevalent unusual phenotype was the under-expression or absence of CD45 (25%). These findings reveal flow cytometry may be useful in confirming the diagnosis of lymphoma, as the technique allows one to add useful information about morphology of the neoplastic cells and identify antigenic markers and aberrant phenotypes.  相似文献   
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ELM is an Estuarine Loading Model that calculates mean annual concentration of dissolved inorganic nitrogen (DIN) available to producers in shallow estuaries by considering how different processes modify pools of nitrogen provided by inputs (streams, groundwater flow, atmospheric deposition, N2 fixation, and regeneration), and losses (burial and denitrification), within components of the estuarine system (bare sediments, seagrass meadows, salt marshes, water column). ELM also considers the effect of flushing rate within an estuary. Its formulation was constrained to minimize demands of data needed to run the model. In spite of simplifications such as the use of loss coefficients instead of functional formulations of processes, and uncertainties in all the terms included in ELM, predictions of mean annual DIN in water were not significantly different than field measurements done in estuaries in Cape Cod, Massachusetts, subject to different rates of nitrogen (N) loading. This verification suggests that, in spite of its simple formulation, ELM captures the functioning of nutrient dynamics within estuaries. ELM may therefore be a reasonable tool for use in basic studies in nutrient dynamics and land/estuary coupling. Because of its simplicity and comprehensiveness in inclusion of components and processes, ELM may also be useful in efforts to manage N loads to estuaries and related management issues.  相似文献   
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